DESIGN PRINCIPLES FOR AN INTELLIGENT MACHINE,

Abstract

This paper discussed the role of prediction as the key process underlying the function of an intelligent machine. A model of a 'neuron' was presented which exhibits properties of memory and learning. The formalism of the calculus of probability allows one to interpret the behavior of a neuron in such a way as to justify how a network of such elements can be organized so that it can learn to predict. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1962
Accession Number
AD0607358

Entities

People

  • M. E. Maron

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Calculus
  • Ergodic Processes
  • Information Theory
  • Learning
  • Mathematics
  • Probability
  • Stochastic Processes

Readers

  • Distributed Systems and Data Platform Development
  • Mathematical Modeling and Probability Theory.
  • Theoretical Analysis.